ADAPT uses an EWMA estimator for cold-start durations to set a dynamic horizon in an MPC-based proactive autoscaler, achieving under 5% SLA violations with MPC+LSTM across tested workloads versus higher rates for HPA and MPC+Prophet.
Workload prediction using ARIMA model and its impact on cloud applications’ QoS,
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ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration
ADAPT uses an EWMA estimator for cold-start durations to set a dynamic horizon in an MPC-based proactive autoscaler, achieving under 5% SLA violations with MPC+LSTM across tested workloads versus higher rates for HPA and MPC+Prophet.